The data exists.
It’s just not connected.

Health systems, researchers, industry, and registries each hold a piece. What remains is building the conditions under which those pieces can learn from each other without any one giving up control.

Coordinating the future of carbometabolic evidence

No organization sees the whole picture

Cardiometabolic care generates enormous amounts of data, but that data is fragmented across organizational, scientific, governed, and strategically valuable, so it cannot simply be pooled or centralized.

Data does not become more valuable by being held

It becomes more valuable when it participates in a system where signal can emerge.

How is it possible: a trust layer, not a data pool

Transforming patient-level information into irreversible representations that preserve clinical and biological signal while removing identifiable and source-specific information.

Irreversible Patient Representations

Patient-level data is transformed into irreversible representations that preserve biological and clinical signal while removing identifiable and source-specific information.

These representations:

cannot be reverse engineered

does not expose patient data

does not reveal institutional sources

No CentralizatioN

Data remains local, governed, and institutionally controlled. Only representations participate.

System-Level Signal

Aggregation occurs at the level of representation and modeling — not raw data. This enables system-level signal without requiring data pooling or transfer.

Participation creates value

Some solutions cannot emerge from any single dataset

Pharma & Industry

Better evidence can help match therapies to the patients most likely to benefit, supporting more appropriate use, stronger outcomes, and clearer value demonstration.

Payers & Insurers

Better signal can support more confident treatment decisions: using high-cost therapies where they are likely to work, and avoiding them where they are not.

National & Registry Data

Participation helps ensure local and underrepresented populations are reflected in the evidence base that informs care.

This has already happened…

Some of the most important scientific breakthroughs emerged when isolated information became part of a larger system.

Protein Structure — AlphaFold
Structure prediction remained unsolved until sequence, evolutionary, and structural data were combined at scale.
Signal emerged only when data was aggregated.
Population Genomics — UK Biobank
Many biological signals were invisible at small scale.
They emerged only across large, diverse populations.
Multimodal Oncology Data
Clinical, genomic, and outcomes data each provided partial views. Meaningful insight emerged only when combined.

… but it doesn’t happen automatically

Each participant faces a rational question: 'Is it better to wait and see, or to participate?'

If many choose to wait, the system does not form.
If enough participate, the system becomes valuable to all. This is not a coordination problem that can be solved by any single actor.

It requires a framework in which:

participation is safe

contribution is preserved

value is realized without loss of control

The benefits of aggregation are collective. The decision to participate is individual.

CareMet exists to make this coordination possible.

The data exists.
It’s just not connected.

Health systems, researchers, industry, and registries each hold a piece. What remains is building the conditions under which those pieces can learn from each other without any one giving up control.

Health systems, researchers, industry, and registries each hold a piece. What remains is building the conditions under which those pieces can learn from each other without any one giving up control.

No organization sees the whole picture